Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role in …

The current methods of classifying plant disease images are mainly affected by the training
phase and the characteristics of the target dataset. Collecting plant samples during different …

Identification of plant disease is affected by many factors. The scarcity of rare or mild symptoms,
the sensitivity of segmentation is influenced by light and shadow of images capturing …

One of the main reasons for death among women is breast cancer. The traditional diagnosis
process of breast cancer is time-consuming and expensive. Also, an early cancer diagnosis …

Attackers always try to break ciphers whether this cipher is image or text in order to reach the
required data due to this fact new methods of ciphering are always presenting. This paper …

The current methods of classifying plant disease images are mainly affected by the training
phase and the characteristics of the target dataset. Collecting plant samples during different …

In this work, we introduce content based image retrieval CBIR. One of the essential features
is colour in an image processing and CBIR so we use the colour histogram and colour …

Clustering is considered one of the most critical unsupervised learning problems. It endeavors
to find an accurate structure in a collection of unlabeled data. In this study, we apply …

Modified uncrosslinked and crosslinked chitosan derivatives were investigated as green
sorbents for the removal of copper (Cu 2+ ) and lead (Pb 2+ ) cations from simulated solutions. …

Networking and computer facilities are becoming cheap and more widespread. Digital
watermarking has been offered as an appropriate apparatus for recognizing the creator, source, …